Current interventions aimed at improving health and increasing engagement in exercise often cluster individuals into groups based on collective characteristics or norms in order to change a behavior. The challenge is to design interventions customized to a single individual based on his or her unique behavior, situation, and characteristics. More recent and rigorous statistical methods may be more appropriate for testing complex hypotheses pertaining to health and exercise behaviors. This book reviews multiple more rigorous and less widely used multivariate methods and measures for assessing and evaluating exercise behavior in a population that is at increased risk for physical inactivity, smoking, and unhealthy diet. Within-group profiles and predictors of exercise are assessed in a study involving a high risk sample. Information presented here can be used by behavioral and social scientists, psychologists, and health and exercise researchers to guide future studies and interventions designed to increase exercise participation of vulnerable populations, and to tailor these interventions to specific needs of these particular individuals.
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Gabriela Dye, PhD: Studied Behavioral Science at University of Rhode Island. Areas of Interest Include Multivariate Statistics, Structural Equation Modeling, Measurement Development and Psychometrics, Growth Curve Modeling and Advanced Longitudinal Methods, Transtheoretical Model, Health Behavior Change, Cross-Cultural Research, Physical Activity.
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Taschenbuch. Condition: Neu. Multivariate Assessment of Stage Profiles and Predictors of Exercise | The Transtheoretical Model Applied to a Multiple Risk Sample | Gabriela Dye | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783836484022 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101690671
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Current interventions aimed at improving health andincreasing engagement in exercise often clusterindividuals into groups based on collectivecharacteristics or norms in order to change abehavior. The challenge is to design interventionscustomized to a single individual based on his or herunique behavior, situation, and characteristics. Morerecent and rigorous statistical methods may be moreappropriate for testing complex hypotheses pertainingto health and exercise behaviors. This book reviewsmultiple more rigorous and less widely usedmultivariate methods and measures for assessing andevaluating exercise behavior in a population that isat increased risk for physical inactivity, smoking,and unhealthy diet. Within-group profiles andpredictors of exercise are assessed in a studyinvolving a high risk sample. Information presentedhere can be used by behavioral and social scientists,psychologists, and health and exercise researchers toguide future studies and interventions designed toincrease exercise participation of vulnerablepopulations, and to tailor these interventions tospecific needs of these particular individuals. Seller Inventory # 9783836484022
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